From whispering to shouting - Duke University
Transcript of From whispering to shouting - Duke University
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From whispering to shouting
A taxonomy of RRPs’ blurring strategies on economic policy after 1990
Matteo Cavallaro
Centre d’Economie de l’Université Paris Nord (CEPN)
Abstract
Our research aims to provide a global analysis of the differences between European RRPs’ positions
on economic matters with a specific focus to the attention paid by the different RRPs to these
issues. We do so by analysing data from the MARPOR project database that has been treated
according to Lowe et al.’s (2011) transformation. We cover 42 different RRPs across 22 European
countries over a period ranging from 1990 to 2017. Our findings show that economic issues are still
less important in RRPs programmes than in those of other political families. However, the gap has
been reducing as RRPs, in their programmes, talk more about the economy than before.
The article then describes RRPs’ heterogeneity on economic issues. We draw a cartography of the
‘economic policy space’ within the radical right party family. We do so by the means of various
statistical methods (PCF and Ward’s method) applied to manifestos data from the MARPOR project
database. We find four dimensions that can describe large part of the differences between RRPs on
economic matters. These dimensions all describe the “salience” of a set issues and we labelled them
‘Welfare’, ‘Economic Liberalism’, ‘Economic Management’ and ‘Protectionism”’ Our results show
that RRPs are still very different in their economic programmes in terms of contents and, using
Ward’s clustering method, we regroup RRPs in four classes: ‘neo-liberal’, ‘pro-welfare’, ‘blurring-
by-muting’, and ‘blurring-by-multiplying’. In particular, we highlight a trend from a ‘blurring-by-
muting’ towards a ‘blurring-by-multiplying’ strategy by most RRPs on economic matters. We
conclude with a preliminary account of the possible determinants of this change of strategy and find
that the economic situation does not seem to be a valid explanation, while the adoption of similar
strategies by non-RR parties appears to be the strongest predictor.
Paper prepared for the workshop on Radical Party Challenges and Realignment in Advanced
Democracies,
Duke University, April 2018
Early draft. Please do not cite or distribute without authors’ permission.
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1 Introduction
How do Radical Right Parties (RRPs) in Europe differ on economic matters? This question has
been the subject of renewed debate in political science following the emergence of new and strong
RRPs in the 1980s, identified by von Beyme (1988) as a ‘the third wave’ of RRPs developments.
As of now, there seems to be a consensus that economic matters are secondary and instrumental
issues for RRPs, the parties being defined by an ideology blending nativism, authoritarianism and
populism (Mudde, 2007). Consequently, RRPs are considered to compete mostly on the non-
economic dimension, which explains the adoption by these parties of a blurring strategy on
economic matter, i.e. RRPs either avoid talking of economic issues or adopt ambiguous positions on
these matters (Rovny 2013). Indeed, it seems impossible to give a clear answer to the question
‘where do radical right parties stand?’ (Rovny 2013): the literature underlines that RRPs' strategy
on economic matters (anti-tax, pro-welfare, etc.) has been varying since the 1990s in order to satisfy
an electorate with heterogeneous economic positions (De Lange, 2007; Ivarsflaten, 2005): silence
and heterogeneity are therefore the main characteristics of RRPs economic programmes.
Nevertheless, we may assume that economic matters have become increasingly important in RRPs’
messages after the 2008 financial crisis. Indeed, the context is characterized by worldwide major
economic and social backlashes while the electoral weight of the RRPs have risen significantly in
many countries over the period (Hernández and Kriesi, 2016). Given the importance of the
economic crisis in the political system, we may hypothesise that economic issues are becoming
increasingly important also for RRPs. Similarly, the adoption of austerity policies by many
European countries might have opened the route for RRPs to become the defenders of redistribution
policy, coupling the defence of the public service with RR nativism through the adoption a ‘welfare
chauvinist’ appeal. In other words, RR might be abandoning the blurring strategy that allowed them
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to gain a large success in the last years and there might a converging trend within the party family
towards a common stance.
In order to understand whether RRPs heterogeneity has been decreasing, this article reconsiders the
differences among RRPs to enable comparison across countries and time. In line with the literature
(De Lange, 2007; Rovny, 2013; Ivaldi, 2013), we rely on party manifestos as the source of RRPs'
programmatic positions. As a result, our work brings three types of contributions to the literature on
RRPs’ economic programmes. To our knowledge, it is the first work which proposes a taxonomy of
the differences between RRPs specifically on economic aspects and through both diachronic and
geographic dimensions. Second, this is done using recent data, thus taking into account the effects
of the crisis which started in 2007-2008 and in particular the importance assumed by economic
issues in RRP programmes following the great recession. Third, we propose an original
methodology to explore and analyse manifesto data, based on inductive analysis of transformed
data, following Lowe et al. (2011) and Prosser (2014).
The article is structured as follows: Section 2 provides a review of the literature on the topic
introduces our hypothesis.. It highlights the main results for RRPs' positioning on economic matters
and the limits of the literature with this respect. Section 3 discusses and justifies our choice to focus
on party manifestos. Section 4 presents the methodology and section 5 describes the dataset and
justifies the list of RRPs considered in our work. Section 6 presents the results and section 7
concludes summarising our contributions but also discussing the limitations of our work and the
possible agenda for further research.
2 RRPs “schizophrenic” agenda on economic issues: an evolving
strategy to compete in a multidimensional political space
Scholars seem to agree RRPs’ position on the secondary role that economic policy plays in RR
ideology (Mudde 2007) as they underline the strong variations that occurred in RRPs’ stances over
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time. Indeed, if we look at the evolution of the literature, we can distinguish three major replies to
the question “Where do RRPs stand on economic policy?”.
Early studies (Kitschelt, 1995) pointed out that RRPs used neoliberalism and free market to attract
voters from the middle class, while nationalism was key to obtain the support blue collar workers.
This combination has been described as the RRPs' ‘winning formula’ and has been considered
among the reasons behind the emerging of a successful ‘third wave’ of RRPs and during 1990s
found support in different authors ((Betz, 1994; Ignazi, 2003).
In a following analysis, Kitschelt (2004, p.10), however, argued that, following changes in the
social composition of their own electorate, RRPs were toning down ‘their market liberal rhetoric so
as not to alienate potential working class constituencies’. De Lange (2007, p.429) empirically
addresses the new ‘winning formula’ proposed by Kitschelt (2004), and compares three different
RRPs – the French Front National (FN), the Flemish Vlaams Blok (VB) and the Dutch List Pim
Fortuyn (LPF) – and concluded that the FN and the VB held a fairly centrist position on economic
questions in the new millennium', while the Dutch LPF was still neo-liberal in its economic
proposal.
This shift goes even further than this ‘centrist’ appeal: Ivaldi (2015b, p.362) finds that the FN has
recently been moving towards a ‘new leftist-agenda’ that is ‘increasingly framed by economic
egalitarianism’ and ‘marked by the acceptance of state regulation and public services, and
emphasizes income redistribution’. This goes together with an increased importance paid by the
French RRP to economic issues (Ivaldi, 2015a). Thus, the FN is becoming close to what Kitschelt
(1997) identifies as welfare chauvinism, that is, the ‘combination of a left-wing position on the
economic axis and a authoritarian/exclusionist position on the cultural dimension’ (Ivaldi, 2013,
p.14). Welfare chauvinism is also part of the True Finns’ (PS) programme (Keskinen, 2016) and
characterizes the Dutch radical right electoral constituency (De Koster, Achterberg and Van der
Waal, 2013).
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The existence of different economic stances within the RRP family eventually led to questioning the
actual importance of economic issues in RRPs’ political discourses. According to Mudde (2007,
p.119), ‘the economic program is a secondary feature in the ideologies of populist radical right
parties’. The many shifts in RRPs' economic programmes rest on the instrumental nature of
economic policy for these parties, which underlies their ‘schizophrenic socioeconomic agenda’
(Mudde, 2007, p.135). Developing on this approach Rovny's (2013, p.5) argues that, since RRPs
compete mainly on non-economic dimensions, these parties adopt a strategic blurring on economic
issues, that is the fact of taking ‘vague, contradictory or ambiguous positions’ on certain issues, in
order to attract a larger audience. In particular, Rovny (2013) distinguishes three main types of
‘position blurring’: (i) the muting of harmful issues (that we call ‘blurring-by-muting’), (ii) the
multiplicity of position (that we call ‘blurring-by-multiplying’), (iii) and an incoherent position over
time. His results show that RRPs have been adopting a blurring strategy, in particular as they have
been constantly underemphasizing economic issues in their economic programmes. In order words,
in order to attract the a larger audience unified on non-economic issues (e.g. immigration or law and
order) but divided on economic policy, RRPs have been avoiding to take a stance by being silent on
the topic. However, some RRPs appear to be assigning more importance to economic issues in the
most recent period and, specifically, following the subprime crisis. For example, Ivaldi (2014) finds
that the FN paid more attention to economic issues in the 2012 election and ‘has accentuated its
nationalist anti-globalization stance while endorsing left-wing economic policies’ (Ivaldi, 2014,
p.14). Indeed, following 2008 economic crisis, RRPs might now have an incentive in taking
position on economic policy, blaming unregulated markets as the culprit for financial instability,
globalisation as the source of country’s economic disarray, and mainstream parties for the adoption
of austerity. As such, taking a stronger stance on redistribution might be strategically convenient to
expand its electorate towards the so-called ‘losers of globalisation’, ‘those who are unable to cope
with the "acceleration of economic, social, and cultural modernization" and/or are stuck in full or
partial unemployment, run the risk of falling into the new underclass and of becoming "superfluous
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and useless for society"’(Rydgren, 2007, p.248). This leads us to our first hypothesis. Following
Rovny (2013), we assume that economic issues are less relevant for RRPs than for other parties.
However, we argue that there has been an absolute and a relative increase trend in their importance,
as Ivaldi (2014) already shown for the French FN:
H1: The salience of economic issues is overall lower for RRPs than for other parties, but
with a reducing gap.
Finding support for this prediction would legitimate our research question insofar as this would
mean that economic matters have become strategically more important for RRPs.
As H1 focuses on the salience of economic issues in general, we are left with no clue on which
issues now receive more emphasis in RR programmes. Indeed, the divergences within RR social
basis on economic issues that led to the blurring of their position on economic policy are still
present: as Bornschier and Kriesi (2012) underlines RR electorate is still composed of both small
business owners and production workers, social groups that appear to be divided on economic
matters. On the other hand, Oesch and Rennwald (2017) underlined that despite the strong
penetration of RRPs among small business owners, these account for only 12% of the RR
electorate. The smaller numbers of the ‘pro-market’ part of their constituency and the openings
provided by 2008 financial crisis in penetrating among production (and service) workers, the RRPs
might work as an incentive to abandon a blurring strategy, to have a clearer stance on economic
policy. As such, in our Hypothesis 2 we consider whether RRPs abandoned position blurring or
simply moved from a blurring-by-muting to a blurring-by-multiplying strategy:
H2: The increase in salience of economic issues is accompanied by a decrease in the
position blurring of RRPs.
Once ascertained the main characteristics of the strategy of RR party family on economic policy in
terms of salience and position blurring, we move to describe the diachronic and cross-country
heterogeneity of RRPs’ strategies. We do so as we are interested in analysing the differences
between RRPs in terms of blurring strategy. Indeed, position blurring might be pursued in different
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ways, for example by paying more attention on certain issues, which are probably perceived as less
problematic than others. An example of such a change is the FN, as identified by Ivaldi (2015), as
the French RRP seems to still keep both pro-market and pro-welfare issues in its programme,
despite shifting the attention from the former to the latter. We argue that a similar change can be
seen in the analysis of party manifestos:
H3: Within the context of a position blurring strategy, the composition of RRPs’ manifestos
on economic matters have significantly changed over time, as pro-market elements receive a
decreasing attention to focus more on welfare issues.
Finally, we turn our attention towards the determinants of RRPs strategy on economic matters and
propose a first assessment. The literature underlines that the choice of emphasising certain issues
also depends on particular characteristics of the political system or other contextual factors (XXX).
In particular, Green-Pedersen and Mortensen (2010) argue that parties need to respond to issues
raised by other political forces, the so-called ‘party system agenda’. Even if competing on a non-
economic dimension, RRPs might therefore be ‘forced’ to either increase the salience of economic
matters because this is at the centre of the party system agenda. Similarly, we can imagine that
RRPs position blurring is influenced by other parties blurring strategies: if other political forces
avoid taking a clear stance on these matters, RRPs will probably have an incentive in blurring even
more their position. As such our hypotheses 5a and 5d are as follows:
5a: We expect RRPs to pay more attention to economic matters in elections where these issues
are more important for other political forces.
5d: We expect RRPs to increase the ambiguity of their position on economic matters in
elections where other political parties adopt blurring strategies as well.
Spoon et al. (xxx) underline that a party’s success is also a possible determinant of salience strategy.
In line with this idea, Akkerman et al. (2016) analysed whether RRPs were ‘mainstreaming’, that is
whether they were changing their profile following the electoral success of the third wave.
Similarly, we consider that party size could be a valid predictor of both economic salience and
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position blurring. Larger parties are supposedly less keen to leave aside relevant dimensions of
issue competition (Spoon, Hobolt and Vries, 2014): as such, we expect more successful RRPs to
pay more attention to economic issues. On the opposite, however, we imagine that the electoral
success of RRPs should lead them to adopt a less clear position on economic issues. In other words,
larger RRPs should be moving from a blurring-by-muting to a blurring-by-multiplying strategy, as
they cannot avoid the issue, but can still avoid taking a clear stance. In terms of what makes a party
successful, we should consider two options (i) party’s electoral score and (ii) party’s incumbency,
which, as underlined by Vavreck (2009) has an effect on the salience of economic issues:
5b: We expect more successful RRPs to pay more attention to economic matters.
5e: We expect more successful RRPs to increase the ambiguity of their position on economic
matters in elections.
Finally, the degree to which the incentives a party has in emphasizing the economy are not
determined solely by the characteristics of the party system, as political actors also react to the
broader economic context. As Spoon et al. (2014, p. 368) ‘during times of economic hardship,
economic issues are likely to dominate the political debate, and parties will emphasise these issues
in their election manifestos.’ As such, we expect RRPs pay more attention to economic issues when
the economy slows down. However, this is not necessarily true for position blurring: as economic
crisis might have an impact on different parts of the society, RRPs still have a clear incentive in
blurring their position to attract a large audience.
5c: We expect RRPs to pay more attention to economic matters in elections where these issues
are more important for other political forces.
5f: We expect RRPs to increase the ambiguity of their position on economic matters in elections
where the economy experiences a slowdown.
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3 Data and methodology
3.1 A supply-side approach based on a manifesto analysis
The literature identifies two main approaches to analyse party differences: a demand-side approach,
which studies parties’ positions according to voters’ preferences, and a supply-side approach, which
focuses on what parties offer voters, either ideologically or in terms of programmes (Kriesi et al.,
2008; Benoit and Laver, 2006). Since our aim is to study differences in the economic programmes
of parties in the RRP family, we favour a supply-side approach. We can distinguish between three
subgroups of supply-side approaches:
- Expert surveys, which rely on scholars’ judgements (Castles and Mair, 1984);
- Analysis of party’s parliamentary activity, in particular voting behaviours (Hix, Noury
and Roland, 2007);
- Manifesto analysis, in particular through the MARPOR project (Volkens et al., 2015) and
the Euromanifesto Study (Braun et al., 2016), which provide human-coded quantitative
data on party manifestos.
Expert surveys are widely used to analyse differences among parties. However, surveys introduce
the non-negligible risk of reproducing the general views in the literature on the topic. Experts do not
necessarily have first-hand knowledge on every party and mostly provide confirmation of the main
literature. As Kriesi et al. (2008) argue it is impossible to know how experts form their own
opinions: in other words, rather than a taxonomy of parties, they provide a taxonomy of the
‘received wisdom’ (Mudde, 2007, p.295).
Moreover, Kriesi et al. (2008) underline the difficulties facing experts who study secondary issues.
This applies to the case of RRPs’ positioning on economic matters, which is not a central tenant of
their ideology.
More rigorous analysis depends on an analysis of coded manifestos and parliamentary activities (i.e.
voting records and parliamentary speeches). In this article, we rely on coded party manifestos as
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various authors in the literature. Indeed, Norris (2005) studies the consequences of RRPs on
national political systems, Arzheimer (2009) and Arzheimer and Carter (2006) analyse the impact
of the positions of other political competitors on voters' support for RRPs. Cole (2005) assesses the
ideological differences between ‘old’ and ‘new’ RRPs. Also the already cited works by De Lange
(2007), Rovny (2013) and Ivaldi (2014) rely similarly either on a specific existing dataset or on the
authors' self-coding. This type of approach allows us to consider RRPs’ economic positions on the
period ranging from 1991 to 2017, for all European countries including Eastern European countries.
3.2 Presentation of the MARPOR database
In this study, we use the dataset provided by the Manifesto Research on Political Representation
(MARPOR), formerly the Manifesto Research Group and Comparative Manifesto Project (Volkens
et al., 2015). This dataset provides information on the content of almost 4,000 political manifestos
presented at national elections, covering 988 parties in 56 countries, not exclusively European. Data
are hand-coded by dividing each manifesto into ‘quasi sentences’ or non-overlapping textual units
which refer to a policy proposition. These units are classified into seven domains, each of which is
split into policy categories (and eventually subcategories) for a total of 56 mutually exclusive items.
The dataset reports the relative number of quasi sentences for each item in each manifesto, that is,
count of mentions of a certain category divided by the total count of quasi-sentences.
3.3 The MARPOR database and salience issue
The coding of the dataset follows a particular approach according to which parties do not compete
on every issue, rather they ‘differentiate themselves by emphasizing the issues on which their
stances are most credible’ (Lowe et al., 2011, p.133); this emphasis is referred to as salience or
valence. The MARPOR dataset counts the mentions of a certain issue, thus, providing a measure of
the importance (salience) of the focal issue to a certain party.
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This is in line with Budge's (2001, p.82) idea that differences among parties ‘consist of contrasting
emphases placed in different policy areas’ and, in particular, that all parties sustain a certain set of
undisputed issues. For example, ‘MARPOR item 501 – Environment’ provides us with information
on a party manifestos' number of positive references to environmental policy, but does not include
information on negative references. The assumption is that parties favouring environmental
protection will refer frequently to it, while parties that oppose stricter environmental laws will
probably not mention it.
The opposite approach, referred to sometimes as ‘direct confrontation’ (Dolezal et al., 2014),
follows Downs's (1957) conceptualization of the political space. According to him, parties compete
by presenting alternative policy options for each major topic. In our example, parties would
compete on environmental policy by presenting clear alternative options, rather than emphasizing or
de-emphasizing the issue. Other authors have also criticised the salience theory. For instance, Laver
(2001) underlines that, in the phrase ‘ If we win the next election all bankers will be taken out and
shot’, what is relevant is the underlying positional idea, not its repetition throughout the manifesto.
Franzmanna and Kaiser (2006) show that, a political system includes both positional and salience
issues. Also, political systems change over time and the type of competition over the same issue
might be considered confrontational in an election and salient in another. Dolezal et al. (2014)
tested various salience theory assumptions using data from the 2002, 2006, 2008 Austrian national
elections. They found that most do not hold. However, they also found support for the thesis that
parties that ‘own’ an issue (such as Green parties and environmental policy) emphasize the topic in
their programmes.
Despite the shortcomings highlighted in the literature in relation to salience-based data, the use of
MARPOR is appropriate in our case for at least two reasons. First, the dataset is not strictly
‘salience-based’. McDonald and Mendes (2001) pointed out that MARPOR codes a large array of
categories in a confrontational way, providing both positive and negative items (e.g., item 406 –
‘Protectionism: positive’ and item 407 – ‘Protectionism: negative’). Also, salience and
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confrontational approaches are not mutually exclusive inasmuch as they stress different aspects of
political competition (Budge, 2001). Thus, it is possible, through a simple operationalization, to
reduce the ‘salience approach’ in MARPOR data in order to take account also of the confrontational
dimension (Gemenis, 2013). Second, our research question deals in part with the salience of
economic matters in RRPs’ programmes: before moving to a party position, we need to address the
importance of economic issues for those parties. Salience is especially important for the present
work, while the confrontational scale might be less relevant for RRPs in the context of economic
issues. Moreover, the confrontations among positions is more difficult to handle since RRPs are
characterized by ‘schizophrenic agendas’, which can include both free-market and state intervention
positions together. As such, the aggregation of pro-state and pro-market pledges (which can each be
extreme) would result in a centrist stance, hiding the contemporary presence of opposite stances.
This is exemplified by FN’s economic position on Benoit and Laver’s (2007) socio-economic ratio
scale which appears to be on the centre-right1, thus losing the information on the possible
simultaneous presence of ‘left’ and ‘right’ elements in its programme.
For all these reasons, we compare the salience given to economic matters by each political family,
relying on the MARPOR dataset. We also consider specific operationalisations of the data in
relation to our question.
4 Methodology
The operationalization of MARPOR data has been the subject of major debate since the data
transformation is aimed at producing one or multiple scales to describe the dimensionality of the
political space. The literature proposes two main methodologies: inductive and deductive
techniques (Prosser, 2014).
1 In Benoit and Laver (2007), the socio-economic position of the FN in 1993 and 1997 is, respectively, .32 and .17 on a
scale from -1 (left) to +1 (right).
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Deductive techniques are based on a priori selection of components from which one or many
indexes can be deduced using ‘common sense substantive judgements to sort the component
variables of the scale’ (Benoit and Laver, 2007, p.100).The best known example of a deductive
technique is the RILE scale (Budge, 1999), an unidimensional description of the policy space based
on the difference between the sum of left-wing and right-wing quasi-sentences found in the
MARPOR dataset, divided by the total number of quasi-sentences. Benoit and Laver (2007)
developed a bi-dimensional scale to describe the left/right differentiation on both social policy and
economic dimensions. Lowe et al. (2011, p.131) proposed a ‘logit scale of position’, to restructure
the dataset as if each additional reference to an issue had a decreasing marginal impact, before
considering left/right differentiations. This decreasing marginal impact is supported by the Weber-
Fechner law of psychophysics which suggests that ‘we should operate in proportions, not levels,
and work with a logarithmic scale relationship between the underlying quantity and subjective
estimations of it’ (Lowe et al., 2011, p.130). However, as argued in the previous Section, deductive
techniques rely on the author’s judgment about the left/right categorization of each item of the
database and might be too normative to understand the differences between RRPs.
Inductive techniques seek to identify latent dimensions and make fewer assumptions about how
they are related. Such techniques rely on exploratory statistics such as Factor Analysis (Alonso and
Volkens, 2012, pp.78–80) and are useful if there is some doubt about the relationship between the
variables, as in our case.
The literature warns about the limits of inductive techniques. Prosser (2014) points out that these
methods applied to manifesto data usually find a rather high number of factors/components with
low eigenvalues. When some authors decide to limit their choice to the first and sometime second
component (Petry and Pennings, 2006; Gabel and Huber, 2000), the part of variance explained by
the retained factors/components is often very low. According to Gemenis (2013) and Prosser
(2014), this problem is highlighted particularly by post-estimation tests such as the Kaiser-Meyer-
Olkin (KMO) index and Bartlett’s test of sphericity.
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Limitations related to sampling adequacy can be overcome by employing some easy data
transformations. In particular, logarithmic transformation is acknowledged to be a good pre-
treatment for data before conducting factor analysis (Wold, Esbensen and Geladi, 1987; Aitchison,
1986). Moreover, this transformation is in line with Lowe et al. (2011), where each additional
reference to a topic in the manifesto has decreasing marginal importance for the reader (and the
authors).Since it has been proven to improve the validity of manifesto data (Kim and Fording,
1998), we retain this assumption when analysing the data. However, as underlined by Prosser
(2014, p.96), a simple logarithmic transformation has some relevant shortcomings, in particular “not
mentioning an issue at all in a small manifesto may score higher than mentioning an issue in several
sentences in a large manifesto”. While this is not a problem when comparing issues in a single
manifesto (e.g. the issues cited more often will have a higher score, thus keeping the order of
importance), it becomes an element of distortion in comparing different manifestos. Therefore,
although we agree with the theory in Lowe et al. (2011), we use a modified version of the log scale,
as proposed by Prosser (2014), which improves the comparability of different manifestos:
𝜃(𝐼) =log(𝑆 + 1)
log(𝑁 + 1)
where S is the number of quasi-sentences on a given issue I and N is the total number of quasi-
sentences in the manifesto. The index ranges from 0, for party manifestos that have no references to
economic matters, to 1 when the entire programme is dedicated to economic issues.
Our analysis then proceeds as follows. First, in order to test Hypothesis H1, we analyse the
evolution of the log scale of salience presented above. We obtain two types of scales: (i) a scale of
economic salience by aggregating all economic items and (ii) a specific scale of salience for each
separate economic item.
Second, in order to test Hypothesis H2, we develop an index of economic issues heterogeneity
based on Benoit and Laver (2007) socio-economic scale. We consider the contemporary presence of
‘left-wing’ and ‘right-wing’ items as a good indicator of position blurring: if a party pays the same
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attention to pro-market and interventionist elements it does so either because it is taking a centrist
stance, or in order to avoid taking a clear stance on an issue. The index if formalized as follows:
𝐻𝑒𝑡 = 𝑀𝐼𝑁(𝜃(𝐿); 𝜃(𝑅))
𝑀𝐴𝑋(𝜃(𝐿); 𝜃(𝑅))
Where 𝜃(𝐿) is the salience of left-wing items and 𝜃(𝑅) is that of right-wing items as categorised by
Benoit and Laver (2007) and calculated relying on the previously presented log scale as proposed
by Prosser (2014). The index ranges from 0, for parties including only items pertaining to left/right-
wing economic policy, to 1 for parties whose programme present the exact same amount of space
for left-wing and right-wing pledges on economic matters.
Then, in order to check the validity of Hypotheses H3 we run a principal component factor analysis
(PCF) of party programmes (considered as individuals) from all election years, the variables being
the economic items and the log scale of salience as the values within each cell in the table. This
allows us to project the position of a party’s programme in different years in order to compare the
evolution of party’s proposals through time. To ease interpretation, we apply normal Varimax
rotation (Kaiser, 1958), a common criterion for orthogonal rotation. Finally, we regroup RRPs’
programmes using Ward’s clustering method (1963) on the same data. This method allows us
obtain a typology minimising the variance within each class and maximising the variance between
the classes. We interpret these groups using the average position of each class on the factorial space.
Finally, in order to test our hypotheses H5a – H5f, following the example of Spoon et al (2014) we
use a Prais-Winsten transformation technique for OLS with robust standard errors as this method
corrects for auto-correlation problems in panel data avoiding the shortcomings of adding a lagged
dependent variable. To account for potential differences across countries, we also include country
fixed effects in all models. We distinguish between two dependent variables. In models H5a-H5c,
as we wish to explain the level of economic salience we rely on the previously described modified
version of the log scale, while in models H5d-H5f the dependent variables is the index of issue
heterogeneity. In order to test the impact of RRPs’ incumbency, we create a dummy that assumes
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the value of 0 for RRPs contesting the election as opposition forces, and 1 if RRPs have been part of
the incumbent cabinet or have offered external support. The coding is based on Akkerman (2012),
Minkenberg (2015) and own research. Concerning electoral scores, data are obtained directly from
the MARPOR dataset (item ‘pervote’). Finally, to test the influence of the economy on the salience
of economic matters in RR manifestos and on position blurring, we rely on economic growth as
calculated by Eurostat, which measures the year-to-year real GDP growth rate.
5 Data selection and description
Since our objective is not to analyse the competition among all the political forces, but rather to
identify areas of RRPs disagreement, and its importance. Thus, we focus only RRPs and exclude
other parties.
The definition and identification of RRPs is not straightforward and there is a large literature on this
issue. We adapt Mudde's (2007) definition and party selection. Some of these adaptations refer to
updating the 2007 list relying on Mudde (2014) and thus including the Dutch PVV, the Greek
Golden Dawn (XA), the Swedish Democrats, the Hungarian Jobbik and the Latvian National
Alliance. We also considered two borderline cases which we include in RRPs: the True Finns (PS)
and the Dutch List Pim Fortuyn (LPF). Indeed, the more recent literature includes the Finnish
movement in the RRP family. Arter (2012, p.815) notes that, ‘the ethno-nationalist ideological
dimension has become more pronounced in the PS’s policy output’ and the PS has adopted a
welfare chauvinist economic programme (Arter, 2010, p.499). Raunio (2012, p.20) also concludes
that ‘the empirical analysis of The Finns’ EU policy in turn has shown that their discourse is overall
broadly similar with other European populist or radical right parties’. The radicalism of the no
longer existing List Pim Fortuyn is more debated. Mudde (2007, p.47) categorizes it as ‘non-radical
right populist’. However, according to Akkerman (2005, p.350), on the one hand, ‘the LPF program
has a substantial overlap of liberal and nationalist principles’, and on the other it adheres to a form
of civic nationalism not so distant from the other parties in our list: the LPF's strong anti-Islam
17
position was a core feature of party’s ideology, as acknowledged by Akkerman (2005, p.341).
However, apart from Islamophobia, the LPF's remaining ideology is hardly ‘radical’ and favours
assimilation (rather than integration) of foreigners (Rydgren, 2004b, p.17).
The list of RRPs is provided in Appendix 1. It includes 42 RRPs across 22 European countries over
the period 1990 to 2017. This gives us a total of 122 party manifestos.
Among economic items, MARPOR includes two domains, which are clearly related to our work:
domain 4 - ‘Economy’ and domain 5 - ‘Quality of life’. However, within these domains, not all
items refer to policy stances. Some are generic and unspecified economy-related items such as item
408 - ‘Economic Goals’. Others cover both economic and non-economic issues and should thus be
excluded in order to avoid misleading data. This is the case for item 411 - ‘Technology and
infrastructure’ and item 501 - ‘Environment’. Conversely, we should not exclude item 701 –
‘Labour groups: positive’ (positive judgments about trade unions) even though it is coded under a
non-economic domain.
We rely on Laver and Benoit (2007) to identify the set of variables for the economic dimension, but
without making any assumptions about their relation to one another. On this basis, we build on their
economic policy ratio scale to generate a new variable as the logarithm of the sum of all quasi-
sentences of selected items divided by the logarithm of the total number of quasi sentences of the
manifesto. We therefore obtain an index of economic salience, or the importance of economic
proposals in the party programme.
Table 1 summarizes the information on each variable in domains 4 and 5 for RRPs. This allows us
to identify the most important topics. The highest value for the policy importance index is for item
504 ‘Welfare State Expansion’, while neoliberal policies such as item 401 ‘Free Market’ and item
402 ‘Incentive’ are less frequent. There are more positive than negative references to protectionism,
while the least important item is 415 – ‘Marxism’, which figures in only 3 of the 122 programmes
analysed. A very limited place is left to item 413 – ‘Nationalisation’, however, items 412 –
18
‘Controlled Economy’ and 405 – ‘Corporatism’ appear rather close, thus this result might be a
consequence of coding decisions.
*** Table 1 AROUND HERE ***
6 Findings
6.1 The salience of economic policy for RRPs: an increasing trend which does
not modify RRPs’ blurring strategies
Table 2 presents a comparison of our index of economic salience across different party families.
Our results indicate that RRPs pay less attention to economic policy than do the other main political
families, while the standard deviation is higher (suggesting that RRPs differ in the importance they
assign to the economy).
*** Table 2 AROUND HERE ***
Figure 1 depicts the historical evolution of economic salience for RRPs compared to liberal,
conservative, communist and social democratic parties. RRPs show the strongest increase, starting
from 0.58 in 1990-1994, to 0.74 in 2010-2017. Although the level is lower than that of other major
political families, the difference is becoming less evident. This is also due to the fact that, in the
1990s, some parties (e.g., the Italian MSI in 1992, and the Croatian HDZ in 1995) made no
reference to the economy while, after 2000, all RRPs include economic items in their programmes,
with an increasing number of included issues. Figure 2 depicts the closing gap with other political
families: in the early 1990s RRPs included on average fewer than 6 economic items, rising to 8.4 in
the 2000s, in line with the communist and liberal parties2. It indicates a clear re-alignment of RRPs
with the other political families for the importance assigned to economic matters through time, thus
supporting Hypothesis H1. However, this realignment does play out differently in Western and
2 This result holds also if we consider all the items included in domains 4 and 5 of the MARPOR dataset. Here, the
average number of items increased from fewer than 9, to 12, the largest increase for a party family.
19
Eastern Europe, as shown in Figure 3 and Figure 4. While we do see an increase in the salience of
economic issues in both sides of Europe, in Western Europe the trend is weaker and the difference
between party families appears clearer.
*** FIGURE 1 TO 4 AROUND HERE ***
The increasing salience of economic matters in RR party manifestos is not, in se, sufficient to
conclude that RRPs now take a stance on economic matters. In order to assess whether RRPs have
modified their position blurring on economic matters, we look at the evolution of our index of
economic issues heterogeneity (Figure 5). Despite a decrease in the 2005-2009 period, which
depended exclusively on two parties, the Danish DF and the Bulgarian ATAKA having part of their
manifestos entirely dedicated to right-wing/left-wing economic policy, RRPs appear to still include
policies from both sides of the spectrum. As discussed in section 2, position blurring can appear in
different forms, either as a lack of a position or as the contemporary presence of positions of a large
number of positions. It would seem that, despite the increasing attention that RRPs appear to pay to
economic issues, the clarity on their positions, at least measured using a left-right economic scale,
has not increased. This contradicts our H2 and indicates that RRPs have not abandoned their
strategy of position blurring on economic matters.
** FIGURE 5 AROUND HERE **
Finally, the data show that the difference between RRPs in terms of salience of economic items has
also been decreasing: we tested the decrease in standard deviation by applying Levene’s test; it was
significant at the 0.05 level. This appears to be preliminary evidence of H3, namely the existence of
a possible intra-family converging trend on a common strategy when it comes to the importance of
economic issues. This is addressed in the following section by exploring the dimensionality of
RRPs' economic policy.
20
6.2 The dimensionality of RR economic policy
In order to analyse the inherent dimensions of RRPs' economic policy supply, we perform a PCF on
all RRPs based on the emphasis they give to the issues identified by Laver and Benoit (2007).3 As
preliminary validation, we test the transformed dataset with KMO and Bartlett's test of sphericity.
An important consequence of logarithmic transformation is that the KMO measure of sampling
adequacy increases to 0.8, a value well above the minimum threshold.4 Having ascertained that our
dataset is fit for a PCF, we present the results.
6.2.1 The main factorial components structuring RRPs on economic matters
*** Table 3 AND Table 4, FIGURE 6 AROUND HERE ***
Table 3 reports the Eigenvalues and variance for each component. The first component describes
33% of the variance and, taken together, the four first dimensions explain 64% of the total variance.
Table 4 reports the loadings following Varimax rotation and
Figure 6 depicts the correlations between the variables and the components.
‘Free Market’ (401), ‘Welfare State Limitations’ (505), ‘Incentives’ (402) and ‘Economic
Orthodoxy’ (414) are positively correlated to the first dimension meaning that the second axis
describes the importance given by the party to economic liberalism. This takes the form of welfare
cuts or privatizations, but also tax breaks and policies favouring individual entrepreneurship.
The second component, instead, divides RRPs according to the salience given to items ‘504’
(‘Welfare State Expansion’), ‘506’ (‘Education expansion’) and ‘403’ (‘Market Regulation’).
Interestingly, items 505 and 401 (free market and welfare state limitations) do not load negatively
onto this dimension. This means that RRPs might display pro and anti-welfare positions
simultaneously. Thus, the second axis is an index of ‘welfare’ salience in the manifesto rather than a
3 Due to its extremely low number of appearances, we decided to drop item “406 – Protectionism : negative”. 4 Although convenient, this consequence should not be the main reason to perform such transformation. What really
matters is the underlying hypothesis, namely, that each supplementary sentence on a certain issue is “less important” for
evaluating the salience of that content for the party. Logarithmic transformations resolve one of the main limitations of
inductive approaches, however, this is still conditional on the appropriateness of the theoretical framework.
21
confrontational dimension, and it opposes RRPs that mention welfare in their programmes against
RRPs which do not.
The third component resembles what Singer (2013) calls the ‘economic management’ dimension.
This refers to the salience of policies advocating a state-controlled economy and is represented by
items 412 – ‘Controlled Economy’, 413 – ‘Nationalisation’ and 404 – ‘Economic Planning’. Again,
there is no clear opposition to a free market; it is more of a salience indicator than a confrontational
dimension. Finally, the fourth dimension is structured by RRPs’ position with respect to
protectionism (item 406 – ‘Protectionism: positive’).
*** Figure 7 around here***
We regroup RRPs manifestos into clusters using Ward’s (1963) method. Looking at the
dendrogram, we identify four classes. We interpret these classes looking at their average position on
the four dimensions found in the PCF (Figure 7). The first class regroups the ‘blurring-by-muting’
RRPs, which are characterized by programmes with low economic salience, in line with Rovny
(2013)’s findings. RRPs in the second class, instead, are characterized by the high salience level of
free-market elements domestically and are protectionist when it comes to international trade.
Therefore, we label them as ‘neoliberal and protectionist’. The third class, ‘pro-welfare’ RRPs,
regroups those parties with programmes including many pro-welfare stances, while other elements
are not particularly stressed. Finally, our fourth class, ‘blurring-by-multiplying’ identifies those
RRPs that stress all economic items, in line with Mudde’s (2007) ‘schizophrenic agendas’ and the
strategy of ‘blurring-by-multiplying’ discussed in Section 2.
To sum up, our results show that differences between RRPs' economic programmes are best
described along four dimensions: ‘welfare’, ‘economic liberalism’, ‘economic management’ and
‘protectionism’. Moreover, we can classify RRPs manifestos in four classes depending on their
economic content: ‘blurring-by-muting’, ‘neoliberal and protectionist’, ‘pro-welfare’, and ‘blurring-
by-multiplying’. These categories will allow us to analyse the evolution of RRPs economic
22
proposals as we compare the positions of different party’s manifestos at different time. In the
following Section: (i) we compare the evolution of Western and Eastern European RRPs on the four
dimensions identified by the PCF and (ii) we describe the evolution of three different RRPs as they
moved from one class to another.
6.2.2 The evolution of RRPs’ positions over time
In order to test our H3, namely whether RRPs modified the composition of their programmes, we
rely on the results from PCF to describe the differences in RRPs’ economic positions over time. To
do so, we distinguish between Eastern and Western European RRPs and, for each of the previously
identified PCF component, we plot the average RRPs’ position over each five-year period (See
Figure 8 and Figure 9). 5
We observe that, for ‘welfare’, both Western and Eastern European RRPs have moved steadily from
relatively low to higher levels of salience during the 20-year period under consideration. The
increase has been faster in Eastern Europe than in Western Europe and, especially, at the turn of the
millennium (See Table 5). Moreover, the decrease in the standard deviation might be a sign of late-
comer RRPs adopting the position of more successful RRPs: a jump on the bandwagon as analysed
by Williams (2006). Overall, these results support our second hypothesis: RRPs have moved from
pro-market positions in the 1990s to a pro-welfare positions in the 2000s.
** Table 5, Figure 8 AND Figure 9 AROUND HERE ***
In the case of ‘economic liberalism’, Figure 8 shows that West European RRPs have decreased the
references to free market policy (without abandoning them), while their Eastern counterparts moved
towards more pro-market pledges following the financial crisis of 2008. This might be an indication
that Western and Eastern European RRPs hold different views about the culprits for the economic
crisis. Figure 9 shows the relative stability of Western European RRPs concerning ‘economic
5 We opt for a five-year average since countries hold elections at different years. A five-year period is however enough
to have at least one data-point (i.e. a manifesto) for each country. Beforehand, we calculated the average position by
party in each five-year period, meaning that parties from countries holding more than one election are computed just
once per period and we calculate.
23
management’ and ‘protectionism’, while Eastern European RRPs have increased their references to
both these terms. Eastern European RRPs now seem to include all dimensions in their political
programme, in line with Mudde's (2007) description of a ‘schizophrenic’ agenda. These results are
also coherent with our H2, to which they provide further evidence, and with Rovny’s (2013, p.20)
conclusions: ‘RRPs maintain a consciously opaque profile on economic issues’. However, the
strategy used by RRPs to blur their position on economic matters seems to have changed. Indeed,
while Rovny results indicated a ‘blurring-by-muting’ strategy, our study shows evidence that RRPs
have been evolving to a blurring-by-multiplying one.
All of these results, read together, confirm the evolution of the RRPs’ strategy on economic matters:
RRPs have been increasing the salience of economic items in their programmes (H1), without taken
a clearer position on economic matters (H2) and modifying the composition of their manifestos
increasing the overall importance of welfare elements (which we consider as a confirmation of our
H3).
These evolutions are difficult to represent for all RRPs on a single graph, due to the large number of
available parties and manifestos in the database. This is why we propose an illustration of these
evolutions relying on three examples: the French FN, the Danish DF, and the Slovakian SNS. We
have chosen these cases as their position changed through time and as this allows us to illustrate the
four clusters identified in Section 6.2.1.
Figure 10 and Figure 11 show the locations of these three major RRPs in the factorial space.
*** Table 5, Figure 10, AND Figure 11 AROUND HERE ***
The French FN clearly moved towards pro-welfare positions. In the 1990s, the party was on the
‘negative’ side of the first axis, while it clearly emphasized redistributive policies in 2017
Presidential election. In relation to ‘economic liberalism’, the FN is more erratic: rather favourable
to liberalism compared to the rest of the party family in 2012, it gives much less attention than
previously to laissez-faire policy. FN shows no clear shift on the ‘economic management’
dimension or on protectionism. Thus, in 2012, compared to the other RRPs, the FN is a welfare-
24
protectionist party with unclear views on economic liberalism. Looking at the clusters: FN
manifestos during the 1990s are classified as ‘neoliberal and protectionist’, which is in line with
Bastow’s (1997) account of the FN economic programme at the time. However, after 2007, party
manifestos fall into the ‘blurring-by-multiplying’ category: free-market references are still present
but are accompanied by a more pro-welfare stance.
The Danish DF also shows an erratic pattern. On the welfare dimension, DF scores are negative for
most of the time span except the 2011 and 2005 elections. However, welfare is not stressed in DF
manifestos in the 2000s. The interpretation is thus less clear than for the French FN. Concerning
‘economic liberalism’, the DF has experienced a decreasing trend in its salience. Overall,
consistently with Rovny (2013), DF appears in our cluster analysis to be an example of blurring-by-
muting: manifestos proposed by the DF fall under the ‘muting’ cluster, apart from 2011 election
when the party stressed pro-welfare statements.
In the 1990-2012 period, the Slovakian SNS covered most of our policy spectrum, with both
positive and negative scores for each dimension depending on the election. Sometimes changes
occurred in a rather limited amount of time. For example, the party did not give much importance to
any economic policies in 1990. In 1994, however, the party ‘rediscovered’ the economy, became
pro-welfare and protectionist, and favoured free-market. Nowadays, the SNS occupies a central
position for each component apart from ‘economic management’ where its negative score points to
a loss in the importance of state control in the party’s ideology. The Slovakian SNS fall under
various classes: as we saw, in 1990 election the SNS opted for a ‘blurring-by-muting’ strategy.
During much of 1990s and until 2010, the party stressed different economic items, proposing an
incoherent program and following a ‘blurring-by-multiplying’ strategy. Finally, more recent
manifestos can be classified as ‘neoliberal’: similarly, to what we saw for Eastern European RRPs,
the Slovakian SNS reacted to 2008 economic crisis by stressing the importance of neoliberal issues
in its programme.
25
6.3 The determinants of economic salience and issue heterogeneity
*** Tables 6 and 7 around here ***
Finally, we turn our attention to the determinants of RRPs strategy both in terms of economic
salience and position blurring. As discussed in Section 3, at this stage, we focus on contextual
explanations related to the political system as such we propose three models for each of our two
dependent variables. In the first model, we provide an opportunistic explanation (model 1): both the
salience and position blurring depend on the strategy adopted by other political parties. In our
second model, we focus on the determinants of party’s success (model 2) and argue that RRP
electoral scores as well as RRPs’ incumbency might influence these parties’ strategy: we expect
larger RRPs, that are closer to competing for government, as well as incumbent RRPs to pay more
attention to economic policy and to adopt a clearer outlook. Finally, we argue that economic
salience might depend on the actual economic outlook (model 3) of the country: as the country’s
economy worsens, non-incumbent RRPs might have incentives in stressing the salience of their
economic proposals as a mean to attack incumbent mainstream parties. Finally, we test a fourth
combined model including all our independent variables.
Table 6 and Table 7 summarise the results of our analysis. Results are rather straightforward in their
interpretation. Regardless of the dependent variable we are analysing, the only covariate which
always turns out to have a statistically significant relationship is the level of salience/heterogeneity
of the political system. Specifically, the level of economic salience in a RRP manifestos strongly
depends on the general level. Our results and the strength of the coefficient both in the opportunistic
and in the combined model seem to indicate that RRPs mostly adapt to change in economic salience
at the systemic level. Despite only at 10% level, in our mainstreaming model we see that partisan
incumbency is linked to an increase of economic salience. This significant relationship disappears
as soon as we consider the level of economic salience registered at the election, however the sign
26
does not change, and it seems to indicate that incumbent RRPs are, in a way, keener to talk about
economic matters than RRPs contesting the election as opposition forces.
The situation does not change if we look at the index of economic issues heterogeneity: we see that
an increase in the system weighted average heterogeneity of 0.1 is roughly translated in an increase
by RRPs of 0.05. In other words, as other parties become less clear in the position on economic
matter, the strategy of position blurring becomes even less costly. Contrarily to the previous case,
none of the covariates turns out to be significant in any model.
To conclude, our preliminary assessment of the possible determinants of RR strategies in terms of
economic salience and blurring seems to indicate that the general level of salience/heterogeneity
characterising an election is the strongest factor. We consider these results to be in line with the
most recent literature on the relationship between RRPs and economic policy (Mudde 2007, Rovny
2013): RRPs mostly compete on non-economic dimensions and are not interested into taking a
stance on these matters unless they are ‘forced’ by other parties’ strategies.
7 Conclusion
This paper explored the evolution of European RRPs' economic programmes since 1990 and
proposed a taxonomy of RRPs’ according to their strategy on economic matters. The diachronic
cross-country approach we used allowed us to describe, classify, and compare the evolution of a
large number of RRPs at the same time, thus connecting together previous researches which
focused either on differences at a given time (De Lange, 2007) or on the evolution of a single party
(Ivaldi, 2015b). Our results can be summarised in four main findings.
First, we highlighted that, consistently with Rovny (2013) and Mudde (2007), economic issues are
not at the core of RRP ideology and are less prominent in their manifestos than in those of other
political families. We showed that RRPs have paid increasing attention to economic matters since
the early 1990s and in particular after the 2008 crisis. We found also that RRPs’ ‘discovery’ of
27
economic issues is characterized by both an increasing salience of these issues and a larger number
of economic topics addressed.
Second, we turned our attention to RRPs’ strategic blurring in order to ascertain whether the
increase in economic salience was accompanied by a clearer position on economic matters. In order
to analyse RR position blurring, we proposed and index of economic issues heterogeneity. Our
results indicate that, despite the increasing attention reserved to economic topics, RRPs continue to
keep the same level of ambiguity as before. This leads us to argue that RRPs have been modifying
their blurring strategy moving from a blurring-by-muting to a blurring-by-multiplicity appeal.
The third series of findings concerns the composition of RRPs’ economic programmes. By the
means of a principal component factor analysis, we were able to illustrate the intra-family economic
policy space along four dimensions. These dimensions describe the salience of ‘welfare’, ‘economic
liberalism’, ‘economic management’ and ‘protectionism’ issues. Our results are in line with the
description of the RR economic policy space already deduced by Otjes et al. (2012) and used by
Ivaldi (2014), despite relying on an inductive approach. Based on these results, we were able to
propose a taxonomy of RRPs as we divided them into four categories depending on the strategy
adopted on economic matters: ‘blurring-by-muting’, ‘neoliberal’, ‘pro-welfare’, and ‘blurring-by-
multiplying’ RRPs. We used the examples of three different parties to identify different strategies
and the evolution of RRPs’ programmes. A blurring-by-muting strategy can be exemplified by the
Danish DF (which was also the last RRP to present a manifesto (in 2001) with no references to
economic issues). Instead, RRPs such as the Slovak SNS adopt what Mudde (2007) calls a
‘schizophrenic agenda’, building manifestos with strong references to both ‘left-wing’ and ‘right-
wing’ economic policies and changing them over time. The French FN has followed a path similar
to that analysed in Ivaldi (2013, 2014, 2015b) moving towards a pro-welfare position and lowering
its initial support for economic liberalism: as of now, the French FN falls under the ‘blurring-by-
multiplying’ class as it combines elements from the different dimensions described in this article.
This pattern is common to most RRPs and there seems to be a converging trend within the party
28
family, in particular if we look at the increasing importance of welfare in RRPs’ manifestos. In
other words, although they might still disagree (for either strategic or ideological reasons) on the
balance between State and Market, the differences between these forces in terms of salience of pro-
welfare issues is decreasing.
Finally, we turned our attention to those factors that could influence the level of economic salience
and position blurring, providing a first account based on three main explanations highlighted by the
literature, namely (i) opportunistic behaviours, (ii) mainstreaming, and (iii) contextual economic
factors. Our preliminary results seem to indicate that RR strategies are first and foremost
determined by those of other political forces. As other parties pay an increasing interest to economic
policy, so do RRPs, and when other political forces increase the vagueness of their stance on
economic policy, RRPs have a clear incentive in blurring even more their position on these topics.
Our study has however some limitations and many dimensions would need further examination.
First, our results need to be combined with results from other sources (Dinas and Gemenis, 2010).
Manifestos are not the only source of policy proposals: parliamentary activity and voting records
(such as Hix, Noury and Roland, 2007), and media analyses (Ellinas, 2010), could be used to
confirm and deepen our analysis. Second, this chapter did not address the determinants of RRPs'
policy choices. Third, our results concern the ‘supply side’ but do not tackle voters’ perceptions of
RR economic programmes. Since RRPs have been undergoing a process of proletarization
(Arzheimer, 2012), the relation between the change in RRPs' electorate' and RRPs' policy proposals
would be a fruitful direction for future research.
29
8 Tables and figures
Item Mean Std.Dev. CV6 Zero
Counts7
401 - Free Market 0.22 0.20 0.905405 43 402 - Incentives 0.29 0.21 0.748252 32 403 - Market Regulation 0.24 0.22 0.932773 45 404 - Economic Planning 0.06 0.13 2.096774 91 405 - Corporatism Mixed Economy 0.02 0.05 2.525114 105 406 - Protectionism : positive 0.13 0.18 1.483051 73 407 - Protectionism : negative 0.04 0.09 2.462604 101 408 - Economic goals 0.22 0.2 0.913242 44 409 - Keynesian Demand Management 0.05 0.11 2.354312 97 410 - Economic Growth : positive 0.18 0.19 1.075145 50 411 - Technology and Infrastructure : positive 0.35 0.23 0.648725 25 412 - Controlled Economy 0.10 0.15 1.525941 76 413 - Nationalisation 0.07 0.13 2.032 88 414 - Economic Orthodoxy 0.20 0.20 0.971014 48 415 - Marxist Analysis 0.01 0.07 7.858672 119 416 - Anti-growth : positive 0.08 0.13 1.703226 87 502 - Culture : positive 0.26 0.22 0.835249 40 503 - Culture : negative 0.29 0.21 0.662069 24 504 - Welfare State Expansion 0.42 0.21 0.525799 16 505 - Welfare State Limitations 0.15 0.18 1.251748 62 506 - Education : positive 0.35 0.21 0.611594 25 507 - Education : negative 0.04 0.01 2.306954 100 701 - Labour groups : positive 0.24 0.21 0.933628 43 702 - Labour groups : negative 0.03 0.08 2.657895 107 Table 1 Summary statistics of MARPOR items covering economic issues (domains 4 - 5 – 7) for RRPs after Prosser’s transformation.
6 Coefficient of variation, defined as the ratio of the standard deviation to the mean. 7 Number of party’s programmes with no references to the item.
30
Party Family8 Obs Mean Std.Dev. CV Min Max
Radical Right 122 0.68 0.19 0.294205 0 0.873
Agrarian 59 0.70 0.18 0.224234 0 0.878
Christian democrat 170 0.76 0.09 0.115625 0.403 0.934
Communist 132 0.75 0.12 0.136187 0 0.905
Conservative 125 0.77 0.08 0.098207 0.239 0.951
Ecologist 85 0.70 0.14 0.206847 0 0.866
Ethnic-regional 85 0.67 0.13 0.193314 0.198 0.856
Liberal 194 0.76 0.10 0.136842 0.167 0.898
Special issue9 53 0.72 0.13 0.209239 0 0.898
Social democratic 204 0.78 0.11 0.135204 0 0.915 Table 2 Economic issues salience by party family 1990-2017 obtained after Prosser’s transformation (2014).
8 The categories are those provided by the MARPOR dataset. 9 The ‘special issue’ category identifies parties with no clear ideological stance and interested by one issue only (e.g. the
Dutch Party for the Animals).
31
Figure 1 Average economic salience by party family 1990-2017
Figure 2 Average number of Econ. Items by party family 1990-2017
Figure 3 Average economic salience by party family in Western Europe 1990-2017
32
Figure 4 Average economic salience by party family in Eastern Europe 1990-2017
Figure 5 Index of economic issues heterogeneity for RRPs 1990-2017
33
Figure 6 Plot of component loadings, first two components.
34
Component Eigenvalue Difference Proportion Cumulative
Proportion Post
rotation
1 3.915 2.35 0.32 0.32 0.21
2 1.563 0.43 0.13 0.45 0.17
3 1.133 0.10 0.09 0.55 0.16
4 1.031 0.19 0.08 0.63 0.10
5 0.839 0.16 0.069 0.70
6 0.679 0.02 0.056 0.76
7 0.656 0.07 0.054 0.81
8 0.579 0.02 0.048 0.86
9 0.557 0.13 0.046 0.91
10 0.418 0.05 0.034 0.94
11 0.364 0.09 0.030 0.97
12 0.265 . 0.022 1
Table 3 PCF Eigenvalue and Variance explained
35
Item 1 2 3 4
401 - Free Market 0.78 402 - Incentives 0.57 403 - Market Regulation 0.5
404 - Economic Planning
0.74 406 - Protectionism : positive
0.94
412 - Controlled Economy
0.80 413 - Nationalisation
0.60
414 - Economic Orthodoxy 0.69 504 - Welfare State Expansion 0.90
505 - Welfare State Limitations 0.77 506 - Education : positive 0.74
701 - Labour groups : positive 0.5 Table 4 Factor loadings after varimax rotation, blanks represent abs. (loadings) <0.50
36
Figure 7 Position of four clusters identified by Ward's method on the economic policy space.
37
Figure 8 The evolution of RRPs economic proposals on 'welfare' (axis 1) and 'economic liberalism' (axis 2) components.
38
Figure 9 The evolution of RRPs economic proposals on 'economic management' (axis 3) and 'protectionism' (axis 4) components.
39
Figure 10 Dimensions of RRPs Econ Salience: welfare (axis 1) and economic liberalism (axis 2).
40
Figure 11 Dimensions of RRPs Econ Salience: economic management (axis 3) and protectionism (axis 4).
41
Years Obs Mean Std.Dev.
1990-1994 28 -0.64 0.98
1995-1999 23 -0.12 1.05
2000-2004 20 -0.00 1.10
2005-2009 20 0.29 0.84
2010-2017 31 0.48 0.675 Table 5 Welfare dimension (axis 1) - Summary Statistics by period. Source: MARPOR and calculation by the author.
42
Model 1 Model 2 Model 3 Model 4
Coeff SE Coeff SE Coeff SE Coeff SE
Average economic salience at election t 1.172** -0.459
1.804*** -0.446
Electoral score at election t
-0.004 -0.003
0.002 -0.003
RRPs is incumbent
0.095** -0.044
0.037 -0.041
GDP Growth
0.004 -0.006 -0.002 -0.006
Constant -0.217 -0.394 0.823*** -0.051 0.770*** -0.045 -0.771** -0.381
R2 0.371
0.266
0.241
0.418 Rho -0.001
0
0.002
-0.002
# of observations 122 122 115 115
Table 6 Explaining economic issue emphasis by RRPs, 1990–2017. Note : results from Prais-Winsten regression correcting for
panel-specific autocorrelation in error terms with panel-corrected standard errors in parentheses. The dependent variable is the
emphasis of economic issues for European RRPs between 1990 and 2017. *** p ≤ 0.01; ** p ≤ 0.05; * p ≤ 0.10.
Model 1 Model 2 Model 3 Model 4
Coeff SE Coeff SE Coeff SE Coeff SE
Party system average economic issues heterogeneity at election t 0.595** -0.251
0.602** -0.258
RRPs is incumbent
0.066 -0.065
0.079 -0.066
Electoral score at election t
0.001 -0.003
0.002 -0.004
GDP Growth
-0.006 -0.007 -0.005 -0.007
Constant 0.274* -0.164 0.646*** -0.055 0.679*** -0.06 0.269 -0.183
R2 0.305
0.265
0.269
0.33 Rho 0.009
0.008
0.009
0.009
# of observations 117 117 111 111
Table 7 Explaining economic issue emphasis by RRPs, 1990–2017. Note : results from Prais-Winsten regression correcting for
panel-specific autocorrelation in error terms with panel-corrected standard errors in parentheses. The dependent variable is the
index of economic issues heterogeneity for European RRPs between 1990 and 2017. *** p ≤ 0.01; ** p ≤ 0.05; * p ≤ 0.10.
43
Economic
Management Welfare Protectionism Economic
Liberalism
MARPOR - planeco 0.60* 0.08 0.12 -0.023
MARPOR - markeco -0.27* 0.01 -0.116 0.62*
MARPOR - welfare -0.01 0.60* -0.09 -0.21
Benoit and Laver (2007) -0.28* -0.43* -0.09 0.66*
Gabel and Huber (2000)- 0.55* 0.15 0.19 -0.64*
Elff (2013) -0.55* 0.08 0.01 0.41*
CHES – L/R economic scale
-0.43* 0.11 -0.21 0.42*
CHES - Salience spending 0.18 0.09 -0.08 -0.25
CHES - Salience deregulation
0.19 0.02 0.05 -0.02
CHES - Salience redistribution
0.23 -0.19 0.02 -0.54*
Table 8 Correlations between the four first components resulting from the PCF and other measures - *= sign. 0.01
44
Figure 12 Evolution of FN ‘Economic Egalitarianism’ salience for Ivaldi (2015, p. 359) and FN ‘Welfare dimension’ obtained in this
paper.
45
Figure 13 Evolution of FN ‘economic liberalism’ salience for Ivaldi (2015, p. 359) and FN ‘economic liberalism’ dimension
obtained in this paper.
46
Figure 14 Evolution of FN ‘economic nationalism’ salience for Ivaldi (2015, p. 159) and FN ’protectionism’ dimension obtained in
this paper.
47
Figure 15 Evolution of FN ‘economic management’ position for Ivaldi (2015, p. 159) and FN ‘economic management’ dimension
obtained in this paper.
48
VAR Factor 1 Factor 2 Factor 3 Factor 4
Welfare
0.7959 Economic Liberalism 0.8767
Economic Management
0.8586 Protectionism
0.653
Untransformed1 0.8848 Untransformed2
0.8322
Untransformed3
0.8068 Untransformed4
0.4642
Untransformed5
0.3678 Table 9 Varimax with Kaiser normalization loadings of second--step factor analysis between dimensions obtained in this paper and
dimensions obtained from untransformed data.
49
VAR Factor 1 Factor 2 Factor 3 Factor 4
Welfare 0.9548 Economic Liberalism
0.9827
Economic Management
0.9826 Protectionism
0.8583
All1 0.8503 All2 0.5636 0.5061
All3
0.7394
All4
0.878 All5
0.5446 0.4377
All6
0.5749 All7
0.4836 Table 10 Varimax with Kaiser normalization loadings of second--step factor analysis between dimensions obtained in this paper and
dimensions obtained from all transformed issues in domain 4 and 5.
50
9 Appendix: list of RRPs
Party Country years N
AN ITA 1994 1
ATAKA BUL 2005, 2009 ,2013, 2014 4
AFD GER 2017 1
BZO AUT 2006, 2008 2
CD NLD 1994 1
DF DEN 1998, 2001, 2005, 2007, 2011 5
EKRE EST 2015 1
ERSP EST 1992 1
Electoral EST 1992 1
FDI-CDN ITA 2013 1
FN FRA 1993, 1997, 2002, 2007, 2012, 2017 6
FPO AUT 1990, 1994, 1995, 1999, 2002, 2006, 2008, 2013 8
FPS SUI 1995 1
HDZ HRV 1990, 1992, 1995, 2000, 2003 5
HSP HRV 1992, 1995, 2000, 2003 4
Jobbik HUN 2010, 2014 2
KPN POL 1991, 1993 2
LAOS GRE 2007, 2012 2
LN ITA 1992, 1994, 1996, 2001, 2006, 2008, 2013 7
LPF NLD 2002, 2003 2
LPR POL 2001, 2005 2
LdT SUI 2007 1
MIP HUN 1998 1
MSI-DN ITA 1992 1
NA LAT 2010, 2011, 2014 3
OP BUL 2017 1
PRM ROM 1992, 1996, 2000, 2004 4
PS FIN 1999, 2003, 2007, 2011 4
PUNR ROM 1990, 1992, 1996 3
PVV NLD 2006, 2010, 2012 3
PX POL 1991 1
SD SWE 2010, 2014 2
SD/DS SUI 1991, 1995, 1999, 2003 4
SNS Slovakia SVK 1990, 1992, 1994, 1998, 2006, 2010, 2012 7
SNS Slovenia SLV 1992, 1996, 2000, 2004, 2008, 2011 6
SPR-RSC CZE 1992, 1996, 1998, 2002 4
SVP/UDC SUI 1991, 1995, 1999, 2003, 2007, 2011 6
TB LAT 1993, 1995 2
UKIP UK 2015 1
VB BEL 1991, 1995, 1999, 2003, 2007, 2010 6
XA GRE 2012 (avg of 2 elections), 2015 (avg of 2 elections) 2
OK CZE 2013 1
Total
122
51
10 Appendix: Robustness and validity
Validity in content analysis refers to the process of verifying that the proposed dimensions measure
what they claim to measure (Bollen, 1989). There are four main types of validity (Ray, 2007): (1)
Content validity: whether the measure we obtain is correct, with reference to the domain we wish to
represent; (2) Convergent/discriminant validity: ‘involves the comparison of alternative measures of
the same concept, and the comparison of measures of different concepts’ (Ray, 2007, p.12); (3)
Criterion or face validity: whether our dimensions are related to the results obtained by other
means; (4) Construct validity: refers to the possibility of obtaining similar results when changing
some of the underlying assumptions. As far as content validity is ensured by our focus on measures
of economic policy (see Sections 1 to 4), next sections tackle the other types of validity criteria.
10.1 Convergent validity
In this section, we measure the extent to which the main components derived from our PCF are
providing – or not – similar results about RRPs' positions on economic matters to those derived
from other types of measures available in the literature. In our case, there are no direct measures of
how RRPs differ from each other in their positions on economic matters. Therefore, we need to
discuss the extent to which the measures proposed in the literature provide results that are consistent
with ours with PCF. Concretely, our results are compared to various deductive approaches:
• The main deductive pre-coded scales for economic issues included in the MARPOR
database (‘planeco’ for planned economy, ‘markeco’ for market economy and ‘welfare’, see
Lave and Budge 1992);
• Benoît and Laver (2006)’s L/R scale for economic issues;
• Non-manifesto related analyses, the most common alternative in the literature being the
Chapel Hill Expert Survey (Bakker et al., 2015).
52
Table 8 presents the correlations between the first four components of our PCF and the measures
obtained using alternative methods.
*** Table 8 AROUND HERE ***
The three pre-coded scales included in the MARPOR database are significantly and positively
correlated to our ‘economic management’, ‘economic liberalism’, and ‘welfare’ scales respectively.
As expected, we also find a that our ‘welfare’ and ‘economic management’ dimensions are
negatively correlated to Benoit and Laver’s (2006) Left/Right scale, while the correlation is positive
with our ‘economic liberalism’ dimension. Finally, we find that our dimensions are mostly
unrelated to expert survey (CHES) formulations of salience, but this might be explained by
discrepancies in coding parties’ positions with respect to MARPOR and partly due to the lack of
data. However, when looking at the only measure available for most of the dataset, the left-right
economic scale, is significantly (although weakly) and consistently correlated to two of our
dimensions: the correlation is positive for ‘economic liberalism’ and negative for ‘economic
management’. Overall, we can thus conclude that our results are robust with respect to ‘convergent
validity’ criterion, bearing in mind the different nature of our (salience) dimensions and the
(confrontational) scales used for comparison: this robustness appears clearly for those dimensions
that clearly identify a left and right economic polarization (‘economic management’ and ‘economic
liberalism’), a little less clearly for the ‘welfare’ dimension and disappears for ‘protectionism’.
10.2 Face validity
*** FIGURES 8 TO 11 AROUND HERE **
In order to consider face-validity, we compare our results for the French FN with those provided by
Ivaldi (2015b). Figure 12 reports the evolution of the FN's position on the ‘welfare’ dimension,
resulting from our factor analysis, and the salience of ‘economic egalitarianism’ in Ivaldi (2015).
The overall trend is similar: FN has moved away from its 1986 – 2012 neo-liberal position. The
comparison is also consistent for the ‘economic liberalism’ dimensions (Figure 13).On the
53
‘economic nationalism and protectionism’ dimension (Figure 14), instead, we obtain opposite
results. However, Ivaldi (2015) includes Eurosceptic references under ‘economic nationalism’,
while we decided not to include the (only) item on the European Union. Finally, on the ‘economic
management’ dimension, Ivaldi does not provide a ‘salience measure’ but rather a positional scale
(Figure 15) whose evolution is not in line with our results. According to our analysis, the FN did
not experience profound changes in this dimension, while Ivaldi finds an important shift towards
‘the left’ in 2012. This might be explained because of the different nature of the two scales (i.e.
salience vs. confrontational).
Overall, the policy space identified by our analysis provides mostly similar trends than that
identified by Ivaldi for the FN, which contributes to validate our approach, with some discrepancies
offering perspectives for further research.
10.3 Construct validity
Finally, we test the extent to which our results depend on our assumptions by changing some of
them. We focus on two choices: the standardised log transformation and the use of Benoit and
Laver (2007) variables subset. We rerun our analyses with two different datasets: in the first, we use
the untransformed variables. In the second we select all (transformed) items in domains 4 and 5
(with the exception of item 501 – ‘Environment’), instead of the variables selected by Benoit and
Laver (2007).
*** Table 9 AND Table 10 AROUND HERE ***
In order to validate our work, we proceed as suggested by Ray (2013) and conduct factor analysis
on parties’ factor scores on our four dimensions and those obtained by the two possible variants.
Table 9 and Table 10 report the rotated results of the analyses. For the analysis with log-
transformation of the data, the main impact appears to be on the hierarchy of the four dimensions,
but three of them (‘welfare’, ‘economic liberalism’ and ‘economic management’) still load strongly
respectively on one and only one factor proving that parties distribution would have been similar.
54
The ‘protectionism’ dimension loads to a lower level. Thus, we can conclude that, while ‘welfare’,
‘economic liberalism’ and ‘economic management’ are all inherent to our dataset, the emergence of
‘protectionism’ derives from the transformation.
Selecting all the variables, leads unsurprisingly to a lower degree of variance explained by each
component. However, again, 3 out 4 of the main components (‘welfare’, ‘economic liberalism’ and
‘protectionism’) in our original results are very correlated to 3 out of 4 of the main components of
this new analysis. In this analysis, the ‘economic management’ component appears less clearly as
an explanatory variable, even though it correlated with the next axis.
Overall, we can conclude that our results are robust with respect to construct validity criterion.
55
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